I build software close to the metal. I'm a Computer Engineering student at CEFET-MG and a software engineering consultant at Zeentech, allocated to Stellantis, where I develop and integrate embedded systems for automotive applications in C/C++ — turning MATLAB/Simulink models into production firmware.
Before that, I spent two years as Electronics & Firmware Designer for the Formula SAE team Formula CEFAST, designing PCBs and firmware for STM32, CAN networks and vehicle power management — work that helped the team win the Brazilian championship twice.
Now I'm channelling that embedded background into what I enjoy most: running AI at the edge and making it fast — quantization, model compression and inference optimization on microcontrollers.
- ⚙️ Embedded & firmware — C/C++, STM32, ARM Cortex-M, CAN, real-time systems
- 🚗 Automotive software — model-based design (Simulink → C/C++), drivability, Scrum
- 🧠 Edge AI / TinyML — deploying & optimizing neural nets on constrained hardware (quantization, CMSIS-NN, TFLite Micro)
- 🧩 Algorithms — competitive programming (SBC Programming Marathon 2024)
Currently learning: TensorFlow Lite Micro · ONNX · TensorRT · MLIR/TVM · CUDA
| Project | What it is | Stack |
|---|---|---|
| 🧠 STM32 Edge AI (in progress 🚧) | TinyML on an STM32F7 with a full optimization benchmark — baseline → INT8 quantization → CMSIS-NN — measured on-target (latency / Flash / RAM) | C, STM32, TFLite Micro |
| 🤖 Automation_OPENPR | Python tool that automates review of Simulink models linked to GitHub pull requests | Python, Simulink |
| 🕹️ Galaxian — Star Wars | Galaxian-style game (computer graphics coursework) | JavaScript |
| ♟️ Teeko · Blackjack | Game logic & algorithms | C / C++ |
- 🥇 2× Formula SAE Brazil Overall Champion (2022, 2023) — Electrical/Electronics presenter
- 🇺🇸 Presented at Formula SAE International (USA, 2023)
- 💻 Competed in the SBC Programming Marathon representing CEFET-MG (2024)
🇧🇷 Portuguese (native) · 🇺🇸 English (fluent) · 🇪🇸 Spanish (intermediate) · 🇫🇷 French (basic)
